Top Hybrid Machine Learning Engineer Jobs

The role involves developing an AI agent platform, building ML models, and enhancing user experiences with advanced algorithms. Collaboration and fast-paced execution are key.

Lead experimentation, develop predictive models, and guide product strategies to improve user onboarding and retention in therapy applications.

As a Machine Learning Intern, you'll design, develop, and deploy machine learning models, collaborate with teams, and improve model performance. You'll also work with data pipelines and ensure models are optimized for production environments.

As a Senior Machine Learning Engineer, you will build intelligent search experiences that leverage machine learning for domain name suggestions, focusing on retrieval and ranking systems.

As a Machine Learning Engineer in Fraud Risk, you'll build and maintain ML systems for fraud detection and anomaly analysis, ensuring robust performance and real-time decision making.

The Machine Learning Engineer will design, build, and maintain production machine learning systems, focusing on scalability, reliability, and integration with existing products. Responsibilities include developing ML pipelines, establishing ML Ops best practices, and collaborating on product capabilities.

The Senior Machine Learning Engineer at Chewy will develop and deploy ML models for sponsored ads, collaborating across teams to optimize advertising strategies. Responsibilities include model ideation, experimentation, and mentoring junior scientists while communicating insights to leadership.

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

The Principal Machine Learning Engineer will lead ML initiatives, integrate ML services, mentor engineers, and drive ML strategy within Ibotta, ensuring scalable solutions are implemented effectively across teams.

This role involves leading analytics efforts using advanced machine learning techniques, handling large datasets, and creating actionable insights through data visualization at Caterpillar Inc.